Katherine D Castro, Lilian Valadares Tose, Matthew Willetts, Melvin A Park, Marcela Nouzova, Fernando G Noriega, Francisco Fernandez-Lima
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引用次数: 0
摘要
脂质种类繁多,脂质结构和组成的微小变化都会对重要的生物功能产生深远影响。稳定同位素标记(SIL)在研究脂质的分布、移动和代谢以及脂质的新合成方面具有多种优势。稳定同位素标记技术的成功实施需要去除内源性分子的干扰。在本研究中,我们介绍了一种从生物样本中筛选 SIL 脂质的高通量分析方案;并将举例说明在蚊子卵巢发育过程中的脂质从头鉴定。使用互补液相色谱捕获离子迁移谱法和质谱法,可在一次扫描中从单一样品中分离出脂质并进行分配 (
Tracing de novo Lipids using Stable Isotope Labeling LC-TIMS-TOF MS/MS.
Lipids are highly diverse, and small changes in lipid structures and composition can have profound effects on critical biological functions. Stable isotope labeling (SIL) offers several advantages for the study of lipid distribution, mobilization, and metabolism, as well as de novo lipid synthesis. The successful implementation of the SIL technique requires the removal of interferences from endogenous molecules. In the present work, we describe a high-throughput analytical protocol for the screening of SIL lipids from biological samples; examples will be shown of lipid de novo identification during mosquito ovary development. The use of complementary liquid chromatography trapped ion mobility spectrometry and mass spectrometry allows for the separation and lipids assignment from a single sample in a single scan (<1 h). The described approach takes advantage of recent developments in data-dependent acquisition and data-independent acquisition, using parallel accumulation in the mobility trap followed by sequential fragmentation and collision-induced dissociation. The measurement of SIL at the fatty acid chain level reveals changes in lipid dynamics during the ovary development of mosquitoes. The lipids de novo structures are confidently assigned based on their retention time, mobility, and fragmentation pattern.
期刊介绍:
JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.